Abstract

BackgroundAcute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Besides, it is difficult to compare or conformance processes from different patient groups.MethodsTo solve these problems, we proposed a novel process mining framework with time perspective, which integrates four steps: standard activity construction, data extraction and filtering, iterative model discovery, and performance analysis.ResultsIt can visualize the execution of actual clinical activities hierarchically, evaluate the timeliness and identify bottlenecks in the treatment process. We take the acute ischemic stroke as a case study, and retrospectively reviewed 420 patients’ data from a large hospital. Then we discovered process models with timelines, and identified the main reasons for in-hospital delay.ConclusionsExperiment results demonstrate that the framework proposed could be a new way of drawing insights about hospitals’ clinical process, to help clinical institutions increase work efficiency and improve medical service.

Highlights

  • Acute care for critical illness requires very strict treatment timeliness

  • It requires the stroke unit within a timely, highquality treatment process to restore the supply of blood promptly [16, 21]

  • A data set of 420 patients was selected, who had been admitted to the hospital from February 2013 to June 2019

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Summary

Introduction

Acute care for critical illness requires very strict treatment timeliness. Healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Acute care for critical illness (such as AIS) requires strict treatment timeliness. Medical managers and physicians should accurately figure out the causes of low efficiency in acute care. Critical illness treatment is a multi-disciplinary, collaborative and complex process, where multiple objectives need to be considered urgently and simultaneously [2]. These objectives, including the sequence of activities and minimizing waiting times, significantly impact medical quality and cost [3].

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